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receive a Ph.D. or doctorate degree in cognitive science, psychology, computer science, philosophy, or a related discipline, and have a strong interest and track record in designing, understanding
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are highly encouraged.Fellows must collaborate with two or more Princeton faculty or senior researchers within an energy or environment-related field and establish an interdisciplinary research plan aligned
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to meet your organization’s goals. Whether through targeted research areas, internship placements, or specialized mentorship opportunities, our program adapts to support your workforce and innovation
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with
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experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data
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with two or more Princeton faculty to establish an interdisciplinary research plan for bioengineering projects to be performed as part of the growing ODBI community. Fellows who ignite new collaborations
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establish an interdisciplinary research plan for bioengineering projects to be performed as part of the growing ODBI community. Fellows who ignite new collaborations between faculty in ODBI and across
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an energy or environment-related field and establish an interdisciplinary research plan aligned with the Andlinger Center's mission. Candidates whose plans forge new collaborations between associated faculty
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performance. Designing and maintaining digital twins of fusion devices, including autonomous control systems, to accelerate discovery, enhance reliability and reduce operational costs. Discovery Plasma Science
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operations. Building and applying foundation models and surrogate models to speed analysis and optimize performance. Designing and maintaining digital twins of fusion devices, including autonomous control